Logo image
A case for "little English" in Nurse Notes from the Telehealth Intervention Program for Seniors: Implications for Future Design and Research
Conference proceeding   Open access   Peer reviewed

A case for "little English" in Nurse Notes from the Telehealth Intervention Program for Seniors: Implications for Future Design and Research

Veena Calambur, Dongwhan Jun, Melody Schiaffino, Zhan Zhang and Jina Huh-Yoo
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems, pp 1-16
11 May 2024
url
https://doi.org/10.1145/3613904.3641961View
Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2024CC BY V4.0 Open

Abstract

older adult telehealth remote patient monitoring information gathering language barrier Community Health
Community telehealth programs (CTPs) enable low-income older adults to receive telehealth services in community settings (e.g., retirement homes). The Telehealth Intervention Program for Seniors (TIPS) is a CTP that provides vital sign monitoring services managed by remote nurses. TIPS has successfully recruited and retained Limited English Proficient (LEP) participants, but lack of language services might hinder LEP participants’ equitable access to care. We conducted a two-part mixed-methods study. We first qualitatively analyzed 40 nurse notes to identify challenges nurses encounter gathering information due to language barriers and the workarounds they employed to address these. We then tested our qualitative findings on 23,975 nurse notes to quantify and compare how these challenges and workarounds scale between LEP and English-proficient TIPS participants. We present future research implications beyond low-hanging solutions, such as automated translation services, and discuss how novel technological solutions can support and ameliorate nurse workarounds and caregiver burden.

Metrics

18 Record Views
2 citations in Scopus

Details

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Theory & Methods
Logo image